William Mounts

895 citations
9 papers · 756 · h-index 9

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 2
    • RNA and protein synthesis mechanisms 2
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • Gene expression and cancer classification 1
    • Antimicrobial Resistance in Staphylococcus 2

William Mounts

9 papers receiving 740 citations

Peers

William Mounts
Comparison fields: 5 of 84
  • Infectious Diseases 304
  • Clinical Biochemistry 68
  • Molecular Biology 498
  • Genetics 154
  • Biotechnology 48
Replace Herman Groen with:
Herman Groen Netherlands
Christine Landlinger Austria
Yongsheng Ma United States
Pejman Hanifi-Moghaddam Germany
Sibylle Scheuring Germany
Mikihiro Fujiya Japan
Ebrahim Faghihloo Iran
Katarzyna Kołodziejska Poland
H. Becker Germany
Jennifer Raisch France
William Mounts relative to Herman Groen Netherlands Herman Groen's profile →
Citations per field
00.5×3.4×
Herman Groen · 1×
Citations per year

Countries citing papers authored by William Mounts

Since Specialization
Citations

This map shows the geographic impact of William Mounts's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by William Mounts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Mounts more than expected).

Fields of papers citing papers by William Mounts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William Mounts. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by William Mounts. The network helps show where William Mounts may publish in the future.

Co-authors

The 25 scholars most cited alongside William Mounts, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with William Mounts Line = papers co-authored together William Mounts links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2004340
2 200293
3 200690
4 200986
5 201146
6 201037
7 200835
8 201117
9 201012

About William Mounts

William Mounts is a scholar working on Molecular Biology, Infectious Diseases, Surgery, Cardiology and Cardiovascular Medicine and Ecology, having authored 9 papers that have together received 756 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Cholesterol and Lipid Metabolism (2 papers), RNA and protein synthesis mechanisms (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Gene expression and cancer classification (1 paper), Vibrio bacteria research studies (1 paper) and Cardiovascular Function and Risk Factors (1 paper). The work is most often cited by research in Infectious Diseases (304 citations), Clinical Biochemistry (68 citations), Molecular Biology (498 citations), Genetics (154 citations) and Biotechnology (48 citations). William Mounts has collaborated with scholars based in United States, Switzerland and Ireland. Frequent co-authors include Paul M. Dunman, Steven J. Projan, Ellen Murphy, Brigitte Berger‐Bächi, Ján Kormanec, Daphne Macapagal, Markus Bischoff, Jennifer L. Moran, Yizheng Li and Christopher P. Miller. Their work appears in journals such as Journal of Bacteriology, Journal of Lipid Research, Journal of Pharmacology and Experimental Therapeutics, The Journal of Infectious Diseases and Physiological Genomics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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